Péter Zoltán Csurcsia

Péter Zoltán Csurcsia
Vrije Universiteit Brussel | VUB

Doctor of Philosophy

About

33
Publications
4,499
Reads
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193
Citations
Introduction
In our project, we focus on two different issues originated from Siemens Industry Software NV (hereinafter referred to as SISW) and its industrial partners. The first one deals with modal analysis of time-varying (TV) systems. The second goal focuses on the experimental analysis of nonlinear structural dynamics systems.
Additional affiliations
January 2017 - present
Siemens Industry Software NV
Position
  • Researcher
August 2011 - present
Vrije Universiteit Brussel
Position
  • Senior Researcher

Publications

Publications (33)
Article
Accurate unsteady aerodynamic models are essential to estimate the forces on rapidly pitching wings and to develop model-based controllers. As system identification is arguably the most successful framework for model predictive control in general, in this paper we investigate whether system identification can be used to build data-driven models of...
Article
In classical approaches of dynamic network identification, in order to identify a system (module) embedded in a dynamic network, one has to formulate a Multi-input-Single-output (MISO) identification problem that requires identification of a parametric model for all the modules constituting the MISO setup including (possibly) the noise model, and d...
Chapter
Engineers and scientists want mathematical models of the observed system for understanding, design, and control. Many mechanical and civil structures are nonlinear. This paper illustrates a combined nonparametric and parametric system identification framework for modelling a nonlinear vibrating structure. First step of the process is the analysis:...
Article
Full-text available
This paper discusses the appropriate way of implementing the PID controller in the software. This work can be seen as a tutorial that teaches the important concepts of the PID controller. The PID controller equation presented in most undergraduate textbooks is in the continuous Laplace domain. To implement the PID controller in the software the con...
Article
This paper provides a novel method to split up the multiple coherence function into noise, nonlinear distortion, and transient components. The method relies on the nonparametric estimation framework called the Best Linear Approximation (BLA) where vibro-acoustic systems are excited by special so-called multisines (pseudo-random noise) signals. Test...
Conference Paper
Engineers and scientists want mathematical models of the observed system for understanding, design and control. Many mechanical and civil structures are nonlinear. This paper illustrates a combined nonparametric and parametric system identification framework for modeling a nonlinear vibrating structure. First step of the process is the analysis: me...
Article
This paper introduces a user-friendly estimation toolbox for (industrial) measurements of (vibro-acoustic) systems with multiple inputs. The vibration testing methods are very important because they help to improve the product quality and to avoid safety and comfort issues. The time-consuming testing procedures are nowadays fully substituted by tec...
Article
PID controllers are the most frequently used controllers. Theoretical understanding of the system to be controlled and the working principle of PID controllers are crucial for closed-loop control. This fundamental knowledge is - in principle - learned by all engineering students at the undergraduate level. However, understanding the practical aspec...
Article
The integration of renewable and residual energy sources requires a detailed level of knowledge of district heating components such as thermal pipes, pipes, pumps, and heat exchanger of a substation. The thermal energy stored in these components can be utilized to match the heat demand and heat generation in time for next generation district heatin...
Article
This paper describes the first results of the modelling of a plate heat exchanger which is installed in the VUB district heating network. A properly controlled energy exchange through the heat exchanger improves the economy of the entire system, minimizes the pollutant emissions and fossil fuel consumption, in accordance with the main goals of the...
Article
Full-text available
Scientists and engineers want accurate mathematical models of physical systems for understanding, design, and control. To obtain accurate models, persistently exciting rich signals are needed. The MUMI Matlab toolbox creates multisine signals to assess the underlying systems in a time efficient, user-friendly way. In order to avoid any spectral lea...
Preprint
Full-text available
In classical approaches of dynamic network identification, in order to identify a system (module) embedded in a dynamic network, one has to formulate a Multi-input-Single-output (MISO) identification problem that requires identification of a parametric model for all the modules constituting the MISO setup including (possibly) the noise model, and d...
Article
Full-text available
This paper illustrates a combined nonparametric and parametric system identification framework for modeling nonlinear vibrating structures. First step is the analysis: multiple-input multiple-output measurements are (semi-automatically) preprocessed, and a nonparametric Best Linear Approximation (BLA) method is performed. The outcome of the BLA ana...
Article
Full-text available
This paper introduces a user-friendly estimation framework for industrial measurements of vibro-acoustic systems with multiple inputs. Many mechanical structures are inherently nonlinear and there is no unique solution for modeling nonlinear systems. This is especially true when multiple-input, multiple-output (MIMO) systems are considered. This pa...
Conference Paper
Full-text available
In this paper, we are investigating the capabilities of both classical system identification and modern machine learning (time regression neural networks) to derive predictive black-box models which can predict the wheel center loads (WCLs) by making use of either the road disturbances acting on the wheel-patch or strain measurements on the suspens...
Conference Paper
Many engineering applications involve lifting surfaces (wings) that oscillate about in pitch, heave, and/or stream-wise (referred to as surge). For small pitch amplitudes, under the stall angle of attack, the lift force will respond linearly to such oscillations. However, at sufficiently large amplitudes, unsteady flow separation and dynamic stall...
Article
Full-text available
In aerodynamics, as in many engineering applications, a parametrised mathematical model is used for design and control. Often, such models are directly estimated from experimental data. However, in some cases, it is better to first identify a so-called nonparametric model, before moving to a parametric model. Especially when nonlinear effects are p...
Article
Full-text available
This paper introduces a nonparametric, nonlinear system identification toolbox called SAMI (simplified analysis for multiple input systems) developed for industrial measurements of vibro-acoustic systems with multiple inputs. It addresses the questions related to the user-friendly (semi-)automatic processing of multiple-input, multiple-output measu...
Article
A structured errors-in-variables (EIV) problem arising in metrology is studied. The observations of a sensor response are subject to perturbation. The input estimation from the transient response leads to a structured EIV problem. Total least squares (TLS) is a typical estimation method to solve EIV problems. The TLS estimator of an EIV problem is...
Article
Simultaneous fast and accurate measurement is still a challenging and active problem in metrology. A sensor is a dynamic system that produces a transient response. For fast measurements, the unknown input needs to be estimated using the sensor transient response. When a model of the sensor exists, standard compensation filter methods can be used to...
Conference Paper
Full-text available
Many mechanical structures are nonlinear and there is no unique solution for modeling nonlinear systems. When a single-input, single-output system is excited by special signals, it is easily possible to decide whether the linear framework is still accurate enough to be used, or a nonlinear framework must be used. However, for multiple-input, multip...
Conference Paper
Full-text available
This paper presents an efficient nonparametric time-varying (TV) system identification method for the Operational Modal Analysis (OMA) framework. OMA tackles industrial measurements of vibrating structures in real-life operating conditions without the exact knowledge of the excitation signal. The main issue is that the dynamics of underlying system...
Article
Full-text available
This paper presents an efficient nonparametric time-varying time domain system identification method for the Operational Modal Analysis (OMA) framework. OMA tackles industrial measurements of vibrating structures in real-life operating conditions without the exact knowledge of the excitation signal. In case of time-varying Operational Modal Analysi...
Article
Full-text available
This paper presents an efficient nonparametric time domain nonlinear system identification method. It is shown how truncated Volterra series models can be efficiently estimated without the need of long, transient-free measurements. The method is a novel extension of the regularization methods that have been developed for impulse response estimates...
Article
This paper presents an efficient nonparametric time domain nonlinear system identification method applied to the measurement benchmark data of the cascaded water tanks. In this work a method to estimate efficiently finite Volterra kernels without the need of long records is presented. This work is a novel extension of the regularization methods tha...
Article
Full-text available
In this paper a nonparametric time-domain estimation method of linear time-varying systems from measured noisy data is presented. The challenge with time-varying systems is that the time-varying two-dimensional (2-D) impulse response functions (IRFs) are not uniquely determined from a single set of input and output signals as in the case of linear...
Thesis
Full-text available
Engineers and scientists want a reliable mathematical model of the observed phenomenon for understanding, design and control. System identification is a tool which allows the user to build models of dynamic systems from experimental noisy data. This is an interdisciplinary science which connects the world of control theory, data acquisition, signal...
Article
Full-text available
In this work linear time varying systems are nonparametrically estimated in the time domain. The key idea is that the classical -one dimensional- impulse response function (IRF) can be extended to a two dimensional form to describe the time varying behavior. Unlike linear time invariant systems where the IRF is unique, the time varying impulse resp...
Article
Full-text available
This paper presents a nonparametric time-domain estimation method for linear slowly time-varying systems. The proposed method uses a 2-D impulse response function. That is modeled by a generalized B-spline smoothing technique. This means that double smoothing is applied: once over the different realizations (referring to the system behavior) and on...
Conference Paper
Full-text available
This contribution presents a smoothing technique for the identification of systems with a smooth impulse response function. Using a generalized and modified B-spline based methodology, an impulse response function can be estimated in the time domain or a frequency response function in the frequency domain. With respect to the system dynamics, it is...
Article
The engineers and scientists want mathematical models of the observed system for understanding, design and control. Most of these systems are nonlinear. There is not a unique solution because of the many different types of nonlinear systems with different behaviors and so the modeling is very involved and universally usable design tools are not ava...

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